CosmicTalent: Workforce Efficiency with AI-Driven Vector Search

From the creator

Divakar Kumar - Flyers Soft Private Limited CosmicTalent: Workforce Efficiency with AI-Driven Vector Search Session details By leveraging the native vector search feature in Azure Cosmos DB for MongoDB vCore, we will develop a intelligent application that allows organization to do resource mapping and talent optimization in a better and efficient way. We will start by uploading the resume of all employees via API/batch processing , which is then used by AI Document Intelligence to extract semantic chunks and stored in our vector database. Now, Manager/Business/HR users, queries with relevant JD or custom queries. Query is then vectorized, and then uses it in a vector query against the data stored in Azure Cosmos DB for MongoDB vCore. The results are then passed to Azure OpenAI Service which will then helps in listing all relevant candidates who are currently in bench. Bio I'm a Microsoft Certified Trainer and Cloud Architect with expertise in designing, developing, and architecting robust and scalable solutions with Azure and the .NET stack. I'm passionate about leveraging cloud technologies and DevOps to provide innovative solutions to complex business problems. I'm an active speaker at events and meetups, and I contribute to the community through my blogs at https://iamdivakarkumar.com. I'm also working on a personal project to explore Azure services with real-time implementations based on different use cases at https://azpark.iamdivakarkumar.com. #azurecosmosdb #azurec

Published 2024-04-16 · Watch on YouTube ↗
Availability and playback restrictions are controlled by the original channel.